David Vallejo

958 citations
80 papers · 689 · h-index 15

Impact in

Papers in

David Vallejo

71 papers receiving 659 citations

Peers

David Vallejo
Comparison fields: 5 of 102
  • Human-Computer Interaction 84
  • Computer Science Applications 74
  • Rehabilitation 66
  • Computer Vision and Pattern Recognition 216
  • Developmental and Educational Psychology 86
Replace J.J. Castro-Schez with:
J.J. Castro-Schez Spain
Javier Albusac Spain
Imad Afyouni United Arab Emirates
Kin Fun Li Canada
Alejandro Baldominos Spain
Adina Magda Florea Romania
Patricia Morreale United States
Chuan‐Jun Su Taiwan
Andrea Orlandini Italy
Víctor López‐Jaquero Spain
David Vallejo relative to J.J. Castro-Schez Spain J.J. Castro-Schez's profile →
Citations per field
00.5×
J.J. Castro-Schez · 1×
Citations per year

Countries citing papers authored by David Vallejo

Since Specialization
Citations

This map shows the geographic impact of David Vallejo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Vallejo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Vallejo more than expected).

Fields of papers citing papers by David Vallejo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Vallejo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Vallejo. The network helps show where David Vallejo may publish in the future.

Co-authors

The 25 scholars most cited alongside David Vallejo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Vallejo Line = papers co-authored together David Vallejo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201069
2 202048
3 202043
4 202035
5 201934
6 200928
7 201023
8 202022
9 200921
10 200919
11 201318
12 202016
13 202015
14 202015
15 201015
16 202314
17 202014
18 202013
19 202313
20 202111

About David Vallejo

David Vallejo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Rehabilitation, Human-Computer Interaction and Computer Networks and Communications, having authored 80 papers that have together received 689 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (19 papers), Virtual Reality Applications and Impacts (12 papers), Augmented Reality Applications (11 papers), Anomaly Detection Techniques and Applications (10 papers), Video Surveillance and Tracking Methods (8 papers), Computer Graphics and Visualization Techniques (7 papers), Data Management and Algorithms (6 papers) and Multi-Agent Systems and Negotiation (6 papers). The work is most often cited by research in Human-Computer Interaction (84 citations), Computer Science Applications (74 citations), Rehabilitation (66 citations), Computer Vision and Pattern Recognition (216 citations) and Developmental and Educational Psychology (86 citations). David Vallejo has collaborated with scholars based in Spain, United Kingdom and Austria. Frequent co-authors include J.J. Castro-Schez, C. Glez-Morcillo, Javier Albusac, Luis Jiménez, Miguel Á. Redondo, Dorothy Monekosso, Paolo Remagnino, Ana I. Molina, Carmen Lacave and Luis Rodríguez-Benítez. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Applied Sciences, Multimedia Tools and Applications and SoftwareX.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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